Autor: |
Tohge, Takayuki, Nishiyama, Yasutaka, Hirai, Masami Yokota, Yano, Mitsuru, Nakajima, Jun-ichiro, Awazuhara, Motoko, Inoue, Eri, Takahashi, Hideki, Goodenowe, Dayan B., Kitayama, Masahiko, Noji, Masaaki, Yamazaki, Mami, Saito, Kazuki |
Předmět: |
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Zdroj: |
Plant Journal; Apr2005, Vol. 42 Issue 2, p218-235, 18p |
Abstrakt: |
The integration of metabolomics and transcriptomics can provide precise information on gene-to-metabolite networks for identifying the function of unknown genes unless there has been a post-transcriptional modification. Here, we report a comprehensive analysis of the metabolome and transcriptome ofArabidopsis thalianaover-expressing thePAP1gene encoding an MYB transcription factor, for the identification of novel gene functions involved in flavonoid biosynthesis. For metabolome analysis, we performed flavonoid-targeted analysis by high-performance liquid chromatography-mass spectrometry and non-targeted analysis by Fourier-transform ion-cyclotron mass spectrometry with an ultrahigh-resolution capacity. This combined analysis revealed the specific accumulation of cyanidin and quercetin derivatives, and identified eight novel anthocyanins from an array of putative 1800 metabolites inPAP1 over-expressingplants. The transcriptome analysis of 22 810 genes on a DNA microarray revealed the induction of 38 genes by ectopicPAP1over-expression. In addition to well-known genes involved in anthocyanin production, several genes with unidentified functions or annotated with putative functions, encoding putative glycosyltransferase, acyltransferase, glutathioneS-transferase, sugar transporters and transcription factors, were induced byPAP1. Two putative glycosyltransferase genes (and) induced byPAP1expression were confirmed to encode flavonoid 3-O-glucosyltransferase and anthocyanin 5-O-glucosyltransferase, respectively, from the enzymatic activity of their recombinant proteinsin vitroand results of the analysis of anthocyanins in the respective T-DNA-inserted mutants. The functional genomics approach through the integration of metabolomics and transcriptomics presented here provides an innovative means of identifying novel gene functions involved in plant metabolism. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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